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Volume & Issue no: Volume 4, Issue 1, January - February 2015

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Title:
A Survey for Personalized Items based Recommendation System
Author Name:
Ms. Mayuri P. chaudhari , Prof. Ms.Sonal Patil , Prof. Mr. Ganesh Dhanokar
Abstract:
Abstract Recommendation techniques are very important in the fields of E-commerce and other Web-based services; one of the main difficulties is dynamically providing high-quality recommendation on sparse data. Here a novel personalized recommendation algorithm is proposed, in which information contained in both ratings and feedback of the user is considered, a set of dynamic features are designed to describe user preferences in multiple phases and finally a recommendation is made by adaptively weighting the features on the basis of result of rating and feedback by using the collaborative graph of both. In item based recommendation algorithm the similarities are determine between the various items and then uses them to identify the set of items to be recommended Keywords- dynamic recommendation, dynamic features, multiple phases of interest
Cite this article:
Ms. Mayuri P. chaudhari , Prof. Ms.Sonal Patil , Prof. Mr. Ganesh Dhanokar , " A Survey for Personalized Items based Recommendation System" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 4, Issue 1, January - February 2015 , pp. 171-173 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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